Data Engineer
Location: US, CA, San Francisco
Employment type: Full-time
Required experience: Mid-Senior level
Required education: Bachelor's Degree
Industry: Computer Software
Function: Engineering

Company profile:
At iMATCHATIVE, we believe in the power of science and technology to inspire creative solutions and to transform businesses. We apply big data, superior analytics, psychological assessment tools and proprietary algorithms, along with human intellect and professional experience, and a healthy dose of imagination, innovation and integrity, to develop innovative products.We are pleased to introduce altX, our first product, an automated, two sided, online platform that promises investors and hedge funds alike, deeper, more intelligent analytics and searches and a more efficient, less expensive capital allocation process.

Job description:
iMatchative is building a disruptive financial investment platform with a huge emphasis on data acquisition, data analytics, entity matching, and smart investment recommendations for our customers.  Our team is diverse and unique, including finance experts, data scientists, and psychologists, as well as a solid core of engineers, designers, and product managers.  We need a superstar like you to join our growing team as we transform the world of investing.  As Data Engineer, you will design and implement systems and algorithms for ingesting, analyzing, and serving large volumes of financial, behavioral, and social data.  You will build products that transform disparate data into actionable, meaningful data for our customers and business.  You will be a critical member of a product and engineering team that is building a unique new financial investment platform.

Requirements:
ResponsibilitiesBuild pipelines and systems that support the ingestion and analysis of rich financial, behavioral, and social dataDesign and build algorithms that extract signals from data, including:  time-series analysis, anomaly detection, entity extraction, taxonomy generation, sentiment detection, recommendation generation, elastic search relevance, user preference trends, and lots moreCollaborate with the data architect to design and build analytic systems that are scalable, reliable, and accurateWork closely with engineering, data operations, product management, and data/finance/psychology subject matter experts to build and improve all of our data productsAdvocate for effective Agile processes at all timesRequired Skills 3+ years of experience developing products in the data/analytics/graphing space (send us links to your projects)Deep understanding of data structures, algorithms, machine learning, and statistical methodsExpert level knowledge of Java, C++, and/or C#Expert level knowledge of Python or similar scripting language (the more the better)Deep knowledge of various database technologies:  relational (SQL, Postgres) and/or NoSQL (MongoDB) and/or graphing (Neo4J)Working knowledge of some or all: SQL, Hadoop, Spark, Storm, MongoDBDeep experience with SaaS systems in general, and Amazon AWS in particularExperience with Git, JIRA, BitBucket, the Atlassian platform, and/or related industry standard software development toolsStrong analytical and technical skills, and excellent communication skills across multiple mediaFlexible, startup mindset with proven success in fast-paced environmentsStrong belief in, and experience with, the Agile processPassion for building amazing products that solve interesting problems!BS, MS or PhD in Computer Science or equivalent work experience &amp; analytical skillsMust be able to work in our San Francisco office!Preferred SkillsExperience building consumer, marketplace, and/or enterprise productsExperience with one or more of NLP toolkits (Lucene, Solr/ElasticSearch, NLTK, Hadoop/Cascading/Scalding)Experience in the finance industryKnowledge of psychology and behavioral finance 

Benefits: